from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.tracking.runs.search(experiment_ids=[
        "<value 1>",
    ])

    # Handle response
    print(res)

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.tracking.runs.search({
    requestBody: {
      experimentIds: [
        "<value 1>",
      ],
    },
  });

  console.log(result);
}

run();

using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using MeetKai.MKA1.Types.Requests;
using System.Collections.Generic;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

var res = await sdk.Tracking.Runs.SearchAsync(body: new TrackingRunsSearchRequestBody() {
    ExperimentIds = new List<string>() {
        "<value 1>",
    },
});

// handle response

curl --request POST \
  --url https://apigw.mka1.com/api/2.0/mlflow/runs/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "experiment_ids": [
    "<string>"
  ],
  "filter": "<string>",
  "max_results": 2,
  "order_by": [
    "<string>"
  ],
  "page_token": "<string>"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    experiment_ids: ['<string>'],
    filter: '<string>',
    max_results: 2,
    order_by: ['<string>'],
    page_token: '<string>'
  })
};

fetch('https://apigw.mka1.com/api/2.0/mlflow/runs/search', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://apigw.mka1.com/api/2.0/mlflow/runs/search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'experiment_ids' => [
        '<string>'
    ],
    'filter' => '<string>',
    'max_results' => 2,
    'order_by' => [
        '<string>'
    ],
    'page_token' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://apigw.mka1.com/api/2.0/mlflow/runs/search"

	payload := strings.NewReader("{\n  \"experiment_ids\": [\n    \"<string>\"\n  ],\n  \"filter\": \"<string>\",\n  \"max_results\": 2,\n  \"order_by\": [\n    \"<string>\"\n  ],\n  \"page_token\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://apigw.mka1.com/api/2.0/mlflow/runs/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"experiment_ids\": [\n    \"<string>\"\n  ],\n  \"filter\": \"<string>\",\n  \"max_results\": 2,\n  \"order_by\": [\n    \"<string>\"\n  ],\n  \"page_token\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/2.0/mlflow/runs/search")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"experiment_ids\": [\n    \"<string>\"\n  ],\n  \"filter\": \"<string>\",\n  \"max_results\": 2,\n  \"order_by\": [\n    \"<string>\"\n  ],\n  \"page_token\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "runs": [
    {
      "info": {
        "run_id": "<string>",
        "experiment_id": "<string>",
        "run_uuid": "<string>",
        "run_name": "<string>",
        "user_id": "<string>",
        "status": "RUNNING",
        "start_time": 123,
        "end_time": 123,
        "artifact_uri": "<string>",
        "lifecycle_stage": "<string>"
      },
      "data": {
        "metrics": [
          {
            "key": "<string>",
            "value": 123,
            "timestamp": 123,
            "step": 123
          }
        ],
        "params": [
          {
            "key": "<string>",
            "value": "<string>"
          }
        ],
        "tags": [
          {
            "key": "<string>",
            "value": "<string>"
          }
        ]
      },
      "inputs": {
        "dataset_inputs": [
          {
            "dataset": {
              "name": "<string>",
              "digest": "<string>",
              "source_type": "<string>",
              "source": "<string>",
              "schema": "<string>",
              "profile": "<string>"
            },
            "tags": [
              {
                "key": "<string>",
                "value": "<string>"
              }
            ]
          }
        ]
      }
    }
  ],
  "next_page_token": "<string>"
}